#FollowFriday Spotlight: @hlsdk

FollowFriday Spotlight is an OCDQ regular segment highlighting someone you should follow—and not just Fridays on Twitter.

Henrik Liliendahl Sørensen is a data quality and master data management (MDM) professional with over 30 years of experience in the information technology (IT) business working within a large range of business areas, such as government, insurance, manufacturing, membership, healthcare, and public transportation.

For more details about what Henrik has been, and is, working on, check out his My Been Done List and 2011 To Do List.

Henrik is also a charter member of the IAIDQ, and the creator of the LinkedIn Group for Data Matching for people interested in data quality and thrilled by automated data matching, deduplication, and identity resolution.

Henrik is one of the most prolific and popular data quality bloggers, regularly sharing his excellent insights about data quality, data matching, MDM, data architecture, data governance, diversity in data quality, and many other data management topics.

So check out Liliendahl on Data Quality for great blog posts written by Henrik Liliendahl Sørensen, such as these popular posts:

 

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#FollowFriday Spotlight: @DataQualityPro

FollowFriday Spotlight is an OCDQ regular segment highlighting someone you should follow—and not just Fridays on Twitter.

Links for Data Quality Pro and Dylan Jones:

Data Quality Pro, founded and maintained by Dylan Jones, is a free and independent community resource dedicated to helping data quality professionals take their career or business to the next level.  Data Quality Pro is your free expert resource providing data quality articles, webinars, forums and tutorials from the world’s leading experts, every day.

With the mission to create the most beneficial data quality resource that is freely available to members around the world, the goal of Data Quality Pro is “winning-by-sharing” and they believe that by contributing a small amount of their experience, skill or time to support other members then truly great things can be achieved.

Membership is 100% free and provides a broad range of additional content for professionals of all backgrounds and skill levels.

Check out the Best of Data Quality Pro, which includes the following great blog posts written by Dylan Jones in 2010:

 

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#FollowFriday and Re-Tweet-Worthiness

There is perhaps no better example of the peer pressure aspects of social networking than FollowFriday—the day when Twitter users recommend other users that you should follow (i.e., “I recommended you, why didn’t you recommend me?”).

However, every day of the week re-tweeting (the forwarding of another user’s Twitter status update, aka tweet) is performed.  Many bloggers (such as myself) use Twitter to promote their content by tweeting links to their new blog posts, and therefore, most re-tweets are attempts—made by the other members of the blogger’s collablogaunity—to help share meaningful content.

But I would be willing to wager that a considerable amount of re-tweeting is based on the act of reciprocity—and not based on evaluating the Re-Tweet-Worthiness of the shared content.  In other words, I believe that many people (myself included) sometimes don’t read what they re-tweet, but simply share content from a previously determined re-tweet-worthy source, or a source that they hope will reciprocate in the future (i.e., “I re-tweeted your blog post, why didn’t you re-tweet my blog post?”).

 

How do YOU determine Re-Tweet-Worthiness?

 

#FollowFriday Recommendations

By no means a comprehensive list, and listed in no particular order whatsoever, here are some great tweeps, and especially for truly re-tweet-worthy tweets about Data Quality, Data Governance, Master Data Management, and Business Intelligence:

 

PLEASE NOTE: No offense is intended to any of my tweeps not listed above.  However, if you feel that I have made a glaring omission of an obviously Twitterific Tweep, then please feel free to post a comment below and add them to the list.  Thanks!

I hope that everyone has a great FollowFriday and an even greater weekend.  See you all around the Twittersphere.

 

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#FollowFriday and The Three Tweets

Today is Friday, which for Twitter users like me, can mean only one thing . . .

It is FollowFriday—the day when Twitter users recommend other users that you should follow.  In other words, it’s the Twitter version of peer pressure: “I recommended you, why didn't you recommend me?”

So why does anyone follow anyone on Twitter?  There are many theories, mine is called . . .

 

The Three Tweets

From my perspective, there are only three kinds of tweets:

  1. Informative Tweets — Providing some form of information, or a link to it, these tweets deliver the practical knowledge or thought-provoking theories, allowing you to almost convince your boss that Twitter is a required work activity.
  2. Entertaining Tweets — Providing some form of entertainment, or a link to it, these tweets are often the funny respites thankfully disrupting the otherwise serious (or mind-numbingly boring) routine of your typical business day.
  3. Infotaining Tweets — Providing a combination of information and entertainment, or a link to it, these tweets make you think a little, laugh a little, and go on and sway (just a little) along with the music that often only you can hear.

Let’s take a look at a few examples of each one of The Three Tweets.

 

Informative Tweets

 

Entertaining Tweets

 

Infotaining Tweets

 

#FollowFriday Recommendations

By no means a comprehensive list, and listed in no particular order whatsoever, here are some great tweeps, and especially for mostly informative tweets about Data Quality, Data Governance, Master Data Management, and Business Intelligence:

 

PLEASE NOTE: No offense is intended to any of my tweeps not listed above.  However, if you feel that I have made a glaring omission of an obviously Twitterific Tweep, then please feel free to post a comment below and add them to the list.  Thanks!

I hope that everyone has a great FollowFriday and an even greater weekend.  See you all around the Twittersphere.

 

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The Tooth Fairy of Data Quality

Tooth Fairy

The 2010 movie Tooth Fairy was a box office bust—and deservedly so for obvious reasons.  The studio executives couldn’t handle the tooth, er I mean, the truth, which is before Jim Piddock stole, modified, and sold my idea, the original plot centered around Dwayne “The DQ Expert” Johnson, who is a dentist by day, but at night becomes a crime fighter battling poor data quality, who is known only as The Tooth Fairy of Data Quality.

Okay, so obviously the real truth that’s all too easy to handle is that nobody really stole my idea for a movie about a data quality crime fighter who uses the tag line: “Can you smell the bad data The DQ Expert is cleansing?”

However, some of the organizations that I discuss data quality with seem like they really do believe in The Tooth Fairy of Data Quality

No, they don’t literally put their poor quality data under their pillow at night, going to sleep believing when they wake up the next morning that they will magically have high quality data—or at least get $1 for every bad data record.

But they do often act as if they believe that simply loading all of their existing data into a shiny new system, like say an enterprise data warehouse (EDW) or a master data management (MDM) hub, will magically resolve all of their enterprise-wide data issues, resulting in brightly smiling, happy business users.

 

Data Quality Fairy Tales

Please post a comment below and share your experiences dealing with this or any other fairy tales about data quality that you have encountered.  Perhaps we could even collectively create a new literary or movie genre for Data Quality Fairy Tales.

 

Anatomy of an OCDQ Blog Post

Since I am often asked by my readers where I get the wacky ideas for some of my data quality blog posts, I thought I would share the Twitter-aided thought process that lead—really quite inevitably—to the writing of this particular blog post:

Therefore, special thanks to Robert Karel of Forrester Research and Steve Sarsfield of Talend for “inspiring” this blog post.

 

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Dilbert, Data Quality, Rabbits, and #FollowFriday

For truly comic relief, there is perhaps no better resource than Scott Adams and the Dilbert comic strip

Special thanks to Jill Wanless (aka @sheezaredhead) for tweeting this recent Dilbert comic strip, which perfectly complements one of the central themes of this blog post.

 

Data Quality: A Tail of Two Rabbits

Since this recent tweet of mine understandably caused a little bit of confusion in the Twitterverse, let me attempt to explain. 

In my recent blog post Who Framed Data Entry?, I investigated that triangle of trouble otherwise known as data, data entry, and data quality, where I explained that although high quality data can be a very powerful thing, since it’s a corporate asset that serves as a solid foundation for business success, sometimes in life, when making a critical business decision, what appears to be bad data is the only data we have—and one of the most commonly cited root causes of bad data is the data entered by people.

However, as my good friend Phil Simon facetiously commented, “there’s no such thing as a people-related data quality issue.”

And, as always, Phil is right.  All data quality issues are caused—not by people—but instead, by one of the following two rabbits:

Roger Rabbit
Roger Rabbit

Harvey Rabbit
Harvey Rabbit

Roger is the data quality trickster with the overactive sense of humor, which can easily handcuff a data quality initiative because he’s always joking around, always talking or tweeting or blogging or surfing the web.  Roger seems like he’s always distracted.  He never seems focused on what he’s supposed to be doing.  He never seems to take anything about data quality seriously at all. 

Well, I guess th-th-th-that’s all to be expected folks—after all, Roger is a cartoon rabbit, and you know how looney ‘toons can be.

As for Harvey, well, he’s a rabbit of few words, but he takes data quality seriously—he’s a bit of a perfectionist about it, actually.  Harvey is also a giant invisible rabbit who is six feet tall—well, six feet, three and a half inches tall, to be complete and accurate.

Harvey and I sit in bars . . . have a drink or two . . . play the jukebox.  And soon, all the other so-called data quality practitioners turn toward us and smile.  And they’re saying, “We don’t know anything about your data, mister, but you’re a very nice fella.” 

Harvey and I warm ourselves in these golden moments.  We’ve entered a bar as lonely strangers without any friends . . . but then we have new friends . . . and they sit with us . . . and they drink with us . . . and they talk to us about their data quality problems. 

They tell us about big terrible things they’ve done to data and big wonderful things they’ll do with their new data quality tools. 

They tell us all about their data hopes and their data regrets, and they tell us all about their golden copies and their data defects.  All very large, because nobody ever brings anything small into a data quality discussion at a bar.  And then I introduce them to Harvey . . . and he’s bigger and grander than anything that anybody’s data quality tool has ever done for me or my data.

And when they leave . . . they leave impressed.  Now, it’s true . . . yes, it’s true that the same people seldom come back, but that’s just data quality envy . . . there’s a little bit of data quality envy in even the very best of us so-called data quality practitioners.

Well, thank you Harvey!  I always enjoy your company too. 

But, you know Harvey, maybe Roger has a point after all.  Maybe the most important thing is to always maintain our sense of humor about data quality.  Like Roger always says—yes, Harvey, Roger always says because Roger never shuts up—Roger says:

“A laugh can be a very powerful thing.  Why, sometimes in life, it’s the only weapon we have.”

Really great non-rabbits to follow on Twitter

Since this blog post was published on a Friday, which for Twitter users like me means it’s FollowFriday, I would like to conclude by providing a brief list of some really great non-rabbits to follow on Twitter.

(Please Note: This is by no means a comprehensive list, is listed in no particular order whatsoever, and no offense is intended to any of my tweeps not listed below.  I hope that everyone has a great #FollowFriday and an even greater weekend.)

 

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Twitter, Meaningful Conversations, and #FollowFriday

In social media, one of the most common features of social networking services is allowing users to share brief status updates.  Twitter is currently built on only this feature and uses status updates (referred to as tweets) that are limited to a maximum of 140 characters, which creates a rather pithy platform that many people argue is incompatible with meaningful communication.

Although I use Twitter for a variety of reasons, one of them is sharing quotes that I find thought-provoking.  For example:

 

This George Santayana quote was shared by James Geary, whom I follow on Twitter because he uses his account to provide the “recommended daily dose of aphorisms.”  My re-tweet (i.e., “forwarding” of another user’s status update) triggered the following meaningful conversation with Augusto Albeghi, the founder of StraySoft who is known as @Stray__Cat on Twitter:

 

Now of course, I realize that what exactly constitutes a “meaningful conversation” is debatable regardless of the format.

Therefore, let me first provide my definition, which is comprised of the following three simple requirements:

  1. At least two people discussing a topic, which is of interest to all parties involved
  2. Allowing all parties involved to have an equal chance to speak (or otherwise share their thoughts)
  3. Attentively listening to the current speaker—as opposed to merely waiting for your turn to speak

Next, let’s examine why Twitter’s format can be somewhat advantageous to satisfying these requirements:

  1. Although many (if not most) tweets are not necessarily attempting to start a conversation, at the very least they do provide a possible topic for any interested parties
  2. Everyone involved has an equal chance to speak, but time lags and multiple simultaneous speakers can occur, which in all fairness can happen in any other format
  3. Tweets provide somewhat of a running transcript (again, time lags can occur) for the conversation, making it easier to “listen” to the other speaker (or speakers)

Now, let’s address the most common objection to Twitter being used as a conversation medium:

“How can you have a meaningful conversation when constrained to only 140 characters at a time?”

I admit to being a long-winded talker or, as a favorite (canceled) television show would say, “conversationally anal-retentive.”  In the past (slightly less now), I was also known for e-mail messages even Leo Tolstoy would declare to be far too long.

However, I wholeheartedly agree with Jennifer Blanchard, who explained how Twitter makes you a better writer.  When forced to be concise, you have to focus on exactly what you want to say, using as few words as possible.

I call this reduction of your message to its bare essence—the power of pith.  In order to engage in truly meaning conversations, this is a required skill we all must master, and not just for tweeting—but Twitter does provide a great practice environment.

 

At least that’s my 140 characters worth on this common debate—well okay, it’s more like my 5,000 characters worth.

 

Great folks to follow on Twitter

Since this blog post was published on a Friday, which for Twitter users like me means it’s FollowFriday, I would like to conclude by providing a brief list of some great folks to follow on Twitter. 

Although by no means a comprehensive list, and listed in no particular order whatsoever, here are some great tweeps, and especially if you are interested in Data Quality, Data Governance, Master Data Management, and Business Intelligence:

 

PLEASE NOTE: No offense is intended to any of my tweeps not listed above.  However, if you feel that I have made a glaring omission of an obviously Twitterific Tweep, then please feel free to post a comment below and add them to the list.  Thanks!

I hope that everyone has a great FollowFriday and an even greater weekend.  See you all around the Twittersphere.

 

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Data Rock Stars: The Rolling Forecasts

Data Rock Stars

As is often the case with these sorts of things, it all started with a tweet, based on an online magazine article about rock stars.

The tweet (shown above) was sent by Jill Dyché in regards to the article Are You a Data Rock Star? by Elizabeth Glagowski.

 

The Rolling Forecasts

The Rolling Forecasts

After the original tweet went viral, our group had very little choice other than to get the band back together and prepare for our Data Rock Star World Tour 2010.  Jean-Michel Franco named us The Rolling Forecasts.  You can follow us on Twitter:

jilldycheJill Dyché – @JillDyche

 1to1MediaEditor Elizabeth Glagowski – @1to1MediaEditor

jmichel_franco Jean-Michel Franco – @jmichel_franco googlea Giedre Aleknonyte – @googlea
mcristia Michael W Cristiani – @mcristia philsimon Phil Simon – @PhilSimon
sheezaredhead Jill Wanless – @sheezaredhead

ocdqblogJim Harris – @ocdqblog

 

We are currently working through some “creative differences” while recording our latest studio album, which is scheduled to drop sometime this summer.  For now, please enjoy the following lyrics from one of our greatest hits of all time.  Rock On!

 

You Can’t Always Get the Data You Want *

I saw her looking for business direction
A document of requirements in her hand
I knew she would find a database connection
And search for the business value they demand

No, you can’t always get the data you want
You can’t always get the data you want
You can’t always get the data you want
But if you try sometimes, you might find
You get the insight you need

I saw her struggle with data’s imperfection
When at the cursor she declared her command
I knew she questioned her SQL selection
Because the result set wasn’t what she planned

You can’t always get the data you want
You can’t always get the data you want
You can’t always get the data you want
But if you try sometimes, well you might find
You get the insight you need

Oh yeah, hey hey hey, oh...

And I went down to the vendor’s product demonstration
To listen to the salesman’s fair share of lies and abuse
Singing: “Now we’re gonna vent our customer frustration
Because we are sick of hearing your sorry ass excuse”
Sing it to me now...

You can’t always get the data you want
You can’t always get the data you want
You can’t always get the data you want
But if you try sometimes, well you just might find
You get the insight you need
Oh baby, yeah, yeah!

I went down to the operational datastore
To get your source data request fulfilled
I was standing in the cubicle of DBA Jimmy
And man, did his data look pretty ill

We decided that we should talk about data quality
Master data management and data governance too
I sung my song to DBA Jimmy
Yeah, and he said one word to me, and that was “Screw!”
I said to him

You can’t always get the data you want, no!
You can’t always get the data you want, I’m telling ya baby
You can’t always get the data you want, oh no
But if you try sometimes, you just might find
You get the insight you need
Oh yes!  Woo!

You get the business insight you need
Yeah baby!
Oh, yeah!

I saw her today at the executive presentation
She knew telling the truth would not win her any fans
But she was tired of practicing the art of deception
And I could tell she finally understands
Sing it!

You can’t always get the data you want
You can’t always get the data you want
You can’t always get the data you want
But if you try sometimes, you just might find
Oh, you just might find
You get the insight you need

Oh, yeah!
Oh, baby!
Woo!

Ah, you can’t always get the data you want
No, no baby

You can’t always get the data you want
Telling you right now

You can’t always get the data you want, oh no!
But if you try sometimes, you just might find
You just might find, that yeah!
You get the business insight you need!
Oh, yeah!

I’m telling the truth about data...

___________________________________________________________________________________________________________________

* In 1969, The Rolling Stones released a similar song called “You Can’t Always Get What You Want” on their album Let It Bleed.

The Fellowship of #FollowFriday

During the dawn of the Second Age of Digital-Earth, in the land of Twitter there was formed a group of like-minded tweeps who were well known for their wisdom about Data Quality, Data Governance, Master Data Management, and Business Intelligence.

They battled against the dark forces of poor data quality, undisciplined organizations, multiple conflicting versions of the truth, flawed business decisions, vast boiling oceans of unmanaged data assets, uncontrolled costs, and unmitigated compliance risks.

Collectively, these valiant heroes were known as: The Fellowship of FollowFriday.

Okay, so clearly I am a total dork—geek, nerd, and dweeb are also completely acceptable alternatives.

J. R. R. Tolkien's The Lord of the Rings three-volume book and Peter Jackson’s adapted movie trilogy were awe inspiring epics, and also the theme of this blog post about FollowFriday, the weekly tradition of recommending great folks to follow on Twitter.

Please note that simply for the purposes of organizing the following lists, I have made the United States the kingdom of Gondor, Canada the kingdom of Rohan, and all of Europe collectively The Shire.  No offense intended to my tweeps from other lands.

I hope that everyone has a great FollowFriday and an even greater weekend.  See you all around the Twittersphere.

 

Tweeps of Gondor

 

Tweeps of Rohan

 

Tweeps of The Shire

 

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Enterprise Data World 2010

Enterprise Data World 2010

Enterprise Data World 2010 was held March 14-18 in San Francisco, California at the Hilton San Francisco Union Square.

Congratulations and thanks to Tony Shaw, Maya Stosskopf, the entire Wilshire Conferences staff, as well as Cathy Nolan and everyone with DAMA International, for their outstanding efforts on delivering yet another wonderful conference experience.

I wish I could have attended every session on the agenda, but this blog post provides some quotes from a few of my favorites.

 

Applying Agile Software Engineering Principles to Data Governance

Conference session by Marty Moseley, CTO of Initiate Systems, an IBM company.

Quotes from the session:

  • “Data governance is 80% people and only 20% technology”
  • “Data governance is an ongoing, evolutionary practice”
  • “There are some organizational problems that are directly caused by poor data quality”
  • “Build iterative 'good enough' solutions – not 'solve world hunger' efforts”
  • “Traditional approaches to data governance try to 'boil the ocean' and solve every data problem”
  • “Agile approaches to data governance laser focus on iteratively solving one problem at a time”
  • “Quality is everything, don't sacrifice accuracy for performance, you can definitely have both”

Seven iterative steps of Agile Data Governance:

  1. “Form the Data Governance Board – Small guidance team of executives who can think cross-organizationally”
  2. “Define the Problem and the Team – Root cause analysis, build the business case, appoint necessary resources”
  3. “Nail Down Size and Scope – Prioritize the scope in order to implement the current iteration in less than 9 months”
  4. “Validate Your Assumptions – Challenge all estimates, perform data profiling, list data quality issues to resolve”
  5. “Establishing Data Policies – Measurable statements of 'what must be achieved' for which kinds of data”
  6. “Implement the data quality solution for the current iteration”
  7. “Evaluate the overall progress and plan for the next iteration”

 

Monitor the Quality of your Master Data

Conference session by Thomas Ravn, MDM Practice Director at Platon.

Quotes from the session:

  • “Ensure master data is taken into account each and every time a business process or IT system is changed”
  • “Web forms requiring master data attributes can NOT be based on a single country's specific standards”
  • “There is no point in monitoring data quality if no one within the business feels responsible for it”
  • “The greater the business impact of a data quality dimension, the more difficult it is to measure”
  • “Data quality key performance indicators (KPI) should be tied directly to business processes”
  • “Implement a data input validation rule rather than allow bad data to be entered”
  • “Sometimes the business logic is too ambiguous to be enforced by a single data input validation rule”
  • “Data is not always clean or dirty in itself – it depends on the viewpoint or defined standard”
  • “Data quality is in the eye of the beholder”

 

Measuring the Business Impact of Data Governance

Conference session by Tony Fisher, CEO of DataFlux, and Dr. Walid el Abed, CEO of Global Data Excellence.

Quotes from the session:

  • “The goal of data governance is to position the business to improve”
  • “Revenue optimization, cost control, and risk mitigation are the business drivers of data management”
  • “You don't manage data to manage data, you manage data to improve your business”
  • “Business rules are rules that data should comply with in order to have the process execute properly”
  • “For every business rule, define the main impact (cost of failure) and the business value (result of success)”
  • “Power Shift – Before: Having information is power – Now: Sharing information is power”
  • “You must translate technical details into business language, such as cost, revenue, risk”
  • “Combine near-term fast to value with long-term alignment with business strategy”
  • “Data excellence must be a business value added driven program”
  • “Communication is key to data excellence, make it visible and understood by all levels of the organization”

 

The Effect of the Financial Meltdown on Data Management

Conference session by April Reeve, Consultant at EMC Consulting.

Quotes from the session:

  • “The recent financial crisis has greatly increased the interest in both data governance and data transparency”
  • “Data Governance is a symbiotic relationship of Business Governance and Technology Governance”
  • “Risk management is a data problem in the forefront of corporate concern – now viewing data as a corporate asset”
  • “Data transparency increases the criticality of data quality – especially regarding the accuracy of financial reporting”

 

What the Business Wants

Closing Keynote Address by Graeme Simsion, Principal at Simsion & Associates.

Quotes from the keynote:

  • “You can get a lot done if you don't care who gets the credit”
  • “People will work incredibly hard to implement their own ideas”
  • “What if we trust the business to know what's best for the business?”
  • “Let's tell the business what we (as data professionals) do – and then ask the business what they want”

 

Social Karma

My Badge for Enterprise Data World 2010

I presented this session about the art of effectively using social media in business.

An effective social media strategy is essential for organizations as well as individual professionals.  Using social media effectively can definitely help promote you, your expertise, your company, and its products and services. However, too many businesses and professionals have a selfish social media strategy.  You should not use social media to exclusively promote only yourself or your business. 

You need to view social media as Social Karma.

For free related content with no registration required, click on this link: Social Karma

 

Live-Tweeting at Enterprise Data World 2010

Twitter at Enterprise Data World 2010

The term “live-tweeting” describes using Twitter to provide near real-time reporting from an event.  When a conference schedule has multiple simultaneous sessions, Twitter is great for sharing insights from the sessions you are in with other conference attendees at other sessions, as well as with the on-line community not attending the conference.

Enterprise Data World 2010 had a great group of tweeps (i.e., people using Twitter) and I want to thank all of them, and especially the following Super-Tweeps in particular:   

Karen Lopez – @datachick

April Reeve – @Datagrrl

Corinna Martinez – @Futureratti

Eva Smith – @datadeva

Alec Sharp – @alecsharp

Ted Louie – @tedlouie

Rob Drysdale – @projmgr

Loretta Mahon Smith – @silverdata 

 

Additional Resources

Official Website for DAMA International

LinkedIn Group for DAMA International

Twitter Account for DAMA International

Facebook Group for DAMA International

Official Website for Enterprise Data World 2010

LinkedIn Group for Enterprise Data World

Twitter Account for Enterprise Data World

Facebook Group for Enterprise Data World 

Enterprise Data World 2011 will take place in Chicago, Illinois at the Chicago Sheraton and Towers on April 3-7, 2011.

 

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Social Karma (Part 7)

In Part 6 of this series:  We discussed some of the books that have been the most helpful to my social media education.

In Part 7, we will discuss some recommended best practices and general guidelines for using Twitter.

 

Frosted Cheerios are Yummy

Frosted Cheerios are Yummy

In social media, one of the most common features is some form of microblogging or short message service (SMS) that allows users to share brief status updates.  Twitter is currently built on only this feature and uses status updates (referred to as tweets) that are limited to a maximum of 140 characters, which at first glance may appear to indicate an obvious limitation. 

Twitter is a rather pithy platform that many people argue is incompatible with meaningful communication, especially of a professional nature.  Most people who have never (as well as some who have) tried it, assume Twitter is a source of nothing but inane babble such as what its users are eating for breakfast.  I must admit that this was my opinion as well—at least at first.

However, Twitter is not only one of the most popular microblogging and social networking services, but if used effectively, it can easily become one of the most powerful weapons in your social media arsenal.

 

Twitter as Research

Twitter as Research

In addition to a listening station and an outpost (concepts discussed in Part 2 and Part 3), I use Twitter as a research tool.

Twitter provides near real-time updates about my online community and my areas of professional interest.  For example, the above tweet alerted me to an excellent LinkedIn discussion about the business benefits of master data management (MDM).

I chose this particular tweet in order to clarify an important distinction about Twitter.

Unlike other social networking services, you do not need an account on Twitter for read-only access to its content, which means that anyone could have seen this tweet.  (Of course, Twitter does provide privacy options for both tweets and accounts).

However, in order to click on the URL in this tweet and read the discussion from the Master Data Management Interest Group, you would require both an account on LinkedIn and need your group membership request approved by the group's owner.

Therefore, because it's not a “walled garden” you could leverage Twitter as a listening station only without creating an account.

With or without an account, Twitter Search provides the ability to search for relevant content.  Tweets often include embedded search terms called “hashtags” since they are prefaced with the hash (#) symbol.  You can also save search queries as RSS feeds.

If you are not familiar with how to use it, then check out my video tutorial by following this link:  Twitter Search Tutorial

 

Twitter as Social Networking

Twitter as Social Networking

As we discussed in Part 5, the difference between connection and engagement is going beyond simply establishing a presence and achieving active participation within the online community.

Active participation can take on many different forms.  However, as we also discussed, “social media is not about you.”

A focus on helping others is what separates social networking from (especially shameless) self-promotion. 

In the example above, I was helping a fellow Twitter user promote his new blog.  However, conversations are better examples of social networking—and not just on Twitter.  Tweets between users can be public or private (referred to as direct messages). 

As with any public conversation, you should use extreme caution and avoid sharing any sensitive or confidential information.

 

The Art of the Re-Tweet

The Art of the Re-Tweet

Re-tweeting is the act of “forwarding” another user's tweet.  Many bloggers use Twitter to promote their content by tweeting links to their new blog posts.  Therefore, many re-tweets are attempts to share this content with your online community.

A simple re-tweet is easy to do.  However, a few recommended best practices include the following:

  • Make your re-tweets (and tweets) re-tweetable by leaving enough unused characters to prevent truncation on re-tweet, which is important since a link is usually at or near the end of the message and truncation would send a broken link
  • If you are re-tweeting a link, verify that the link is neither broken nor spam—and if you're not sure, then don't re-tweet it
  • If the tweet uses a URL shortener (e.g., a bit.ly link), then reuse it since the user may be relying on its associated analytics
  • Space permitting, add relevant hashtags to the re-tweet to make it more compatible with related Twitter searches
  • Prove that you're not a robot by providing a meaningful description of what you're re-tweeting (as in the above example)

 

Following, Followers, and Lists

Following, Followers, and Lists

The Twitter term for connecting with other users is “following.”  Unlike other social networking services, Twitter is not permission based, which means connections do not have to be first requested and then approved.

This creates two different perspectives on your Twitter world—those following you and those you are following.

Unless you only follow a few people, it is a tremendous challenge to actually follow every user you follow.  Twitter Search as well as tools and services (see below) can help with making following a more manageable activity.  Twitter also has a list feature that helps organize the users you are following—and you can follow the lists created by other users.

However, as we discussed in Part 5, social media is not a popularity contest.  Therefore, Twitter is not about the quantity of followers you are able to collect and count, but instead the quality of relationships you are able to form and maintain.

 

Twitter Tools and Services

Twitter tools and services that I personally use (listed in no particular order):

  • TweetDeck Connecting you with your contacts across Twitter, Facebook, and LinkedIn
  • Digsby – Digsby = Instant Messaging (IM) + E-mail + Social Networks
  • HootSuite – The professional Twitter client
  • Twitterfeed – Feed your blog to Twitter
  • TweetMeme – Add a Retweet Button to your blog
  • Ping.fm – Update all of your social networks at once 

 

“Thanks”

Thanks

I haven't performed the actual analysis, but I am willing to bet the word that appears most often in my tweets is: “Thanks”

I named this series Social Karma for a reason—beyond simply being a cute pun for social media.

I view the “Social” in Social Karma as the technical variable in the social media equation.  Social is the strategy for accomplishing our goals, the creation of our own content, the effective use of the tools—the technology. 

I view the “Karma” in Social Karma as the human variable in the social media equation.  Karma is the transparency of our intentions, the appreciation of the content created by others, the sharing of ourselves—our humanity.

The most important variable in the social media equation is the human variable. 

In other words, I want to say thanks to all of you for being the most important aspect of my social media experience.

 

In Part 8 of this series:  The series concludes with my Social Karma presentation for Enterprise Data World 2010.

 

Related Posts

Yet Another 140 Chars Joke

Social Karma (Part 1) – Series Introduction

Social Karma (Part 2) – Social Media Preparation

Social Karma (Part 3) – Listening Stations, Home Base, and Outposts

Social Karma (Part 4) – Blogging Best Practices

Social Karma (Part 5) – Connection, Engagement, and ROI Basics

Social Karma (Part 6) – Social Media Books

The Wisdom of the Social Media Crowd

The Twitter Clockwork is NOT Orange

Video: Twitter Search Tutorial

Live-Tweeting: Data Governance

Brevity is the Soul of Social Media

If you tweet away, I will follow

The Wisdom of the Social Media Crowd

In his blog post A Story Culture, Michael Lopp, author of Managing Humans (check out the book's great promotional website), used the intriguing phrase “connective information tissue” to describe the value of tweets (status messages sent via Twitter).

 

Information Hierarchy

Challenged by his editor to better understand what information is, Lopp starts with the definition of the Information Hierarchy provided by Ray R. Larson at Berkeley:

  • Data – The raw material of information
  • Information – Data organized and presented by someone
  • Knowledge – Information read, heard or seen and understood
  • Wisdom – Distilled and integrated knowledge and understanding

Lopp then examines how information ascends this hierarchy using the perennial vehicle designed for its transmission—the story.

 

Shattered bits of narrative

“The traditional narrative,” explains Lopp, “has been shattered into bits of well-indexed information.  Google wasn’t the first indexing tool, but it’s certainly the best.  Still, Google is powerfully dumb.  Yes, I can find whatever piece of information I’m looking for, but what’s more interesting are all the related pieces of information.  How do you query for knowledge via Google?  How about wisdom?”

Constructing (or reconstructing) a meaningful narrative from shattered bits of information requires a human storyteller.

“There’s no replacing,” explains Lopp, “a human being combing through seemingly disparate pieces of information to evaluate, interpret, and combine it into something unexpected; into a new work.  Into a story.”

 

What tale can tattered tweets truly tell?

With their 140 character limit, tweets are certainly capable of being classified as shattered bits of narrative.

However, according to Lopp, “the point of Twitter isn’t knowledge or understanding, it’s merely connective information tissue.  It’s small bits of information carefully selected by those you’ve chosen to follow and its value isn’t in what they send, it’s how it fits into the story in your head.  There are great stories to be found on Twitter, but you have to do the work.”

Case in point—it was the tweet sent by Rob Paller that lead me to the blog post I am trying to write a great story about now.

Of course, as Lopp acknowledges, Twitter is not an isolated example. 

Information continues to be shared in smaller and smaller bits in accordance with our shorter and shorter attention spans. 

“Paradoxically, it’s never been easier to share or meaningfully interact with more people with less physical, in-person effort,” explains Lopp.  “Your ability to compose and convey information as well as express yourself through your fingertips is a skill that is only going to increase—and increase in value—as people become more comfortable with their place in communities that span the planet, and as the tools to connect them become more commonplace.” 

As social media's conversation medium continues to supplant traditional media's broadcast medium, it is enabling a world that fulfills James Joyce's vision in Finnegans Wake: “my consumers, are they not my producers?”

In other words, we are both consuming and producing the connective information tissue that forms our collective intelligence.

 

We are all storytellers

Even before the evolution of written language, storytelling played an integral role in every human culture.  Listening to stories and retelling them to others continues to be the predominant means of expressing our emotions and ideas.  Writing (and reading) greatly improves our ability to communicate, educate, record our history, and thereby pass on our information, knowledge, and wisdom to future generations.

We are now living in an amazing age where the very air we breath is literally teeming with information.  Digital data streams are continuously transmitted across the globe at near instantaneous speeds.  We need storytellers now more than ever. 

However, storytelling is neither an esoteric skill possessed by only a select few, nor is it the sole providence of writers. 

“The construction of a story,” explains Lopp, “has very little to do with writing.  It has to do with the semi-magical process of you taking disparate pieces of information, combining them into something new, which includes your experience and understanding, and then giving them to someone else.”

In a story culture, we are all storytellers. 

Storytelling may not be as simple (or as fun) as playing a game of Mad Libs.  However, it is important to realize that the very act of thinking is a form of storytelling.  The thought process is your brain collecting the shattered bits of information whirling around in your head and weaving them together into a narrative that, at least at first, might not make sense—even to you. 

The thought process isn't always simple and it isn't always fast.  Especially when all those voices in your head talk at once. 

My own thinking often feels like I am herding cats or—thanks to the “semi-magical process” makes me describe it—as if I am “full of broken thoughts I could not repair” (from the song Hurt originally by Nine Inch Nails and covered by Johnny Cash).

Eventually, you assemble a tale actually worth telling.  But even though you may be certain that the force is strong with this one, your tale is not a story yet. 

“Just like information isn’t knowledge until it’s understood,” as Lopp thoughtfully explains, “your tale isn’t a story until you give it to someone else—until they have a chance to see what they think about your inspiration.”

 

The Wisdom of the Social Media Crowd

One of my favorite books is The Wisdom of Crowds by James Surowiecki, which was originally published in 2004 (i.e., 2 B.T.E., two years “Before the Twitter Era”) before the real rise to prominence of social media.  Aspects of social media (such as blogging) were already prevalent at the time, but most of today's leading social networking tools were still in their nascent phase.

However, I believe many of Surowiecki's insights are very applicable to social media.  Take for example the four conditions that characterize wise crowds:

  1. Diversity of opinion
  2. Independence
  3. Decentralization
  4. Aggregation

Returning to Lopp's concept, it is social media's small bits of connective information tissue, gathered from diverse digital sources, acting as independent agents, lacking any centralized information authority, aggregated with your own knowledge, which you then construct into a story and share with others—that is The Wisdom of the Social Media Crowd.

 

Related Posts

The War of Word Craft

Will people still read in the future?

Brevity is the Soul of Social Media

 

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The Twitter Clockwork is NOT Orange

Recently, a Twitter-related tête à tête à tête involving David Carr of The New York Times, Nick Bilton of The New York Times, and George Packer of The New Yorker temporarily made both the Blogosphere all abuzz and the Twitterverse all atwitter.

This was simply another entry in the deeply polarizing debate between those for (Carr and Bilton) and against (Packer) Twitter.

 

A new decade of debate begins

On January 1, 2010, David Carr published his thoughts in the article Why Twitter Will Endure:

“By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.”

. . . 

“Nearly a year in, I’ve come to understand that the real value of the service is listening to a wired collective voice.”

. . .

“At first, Twitter can be overwhelming, but think of it as a river of data rushing past that I dip a cup into every once in a while. Much of what I need to know is in that cup . . . I almost always learn about it first on Twitter.”

. . .

“All those riches do not come at zero cost: If you think e-mail and surfing can make time disappear, wait until you get ahold of Twitter, or more likely, it gets ahold of you.  There is always something more interesting on Twitter than whatever you happen to be working on.”

Carr goes on to quote Clay Shirky, author of the book Here Comes Everybody:

“It will be hard to wait out Twitter because it is lightweight, endlessly useful and gets better as more people use it.  Brands are using it, institutions are using it, and it is becoming a place where a lot of important conversations are being held.”

 

The most frightening picture of the future

On January 29, 2010, in his blog post Stop the World, George Packer declared that “the most frightening picture of the future that I’ve read thus far in the new decade has nothing to do with terrorism or banking or the world’s water reserves.”

What was the most frightening picture of the future that Packer had read less than a month into the new decade? 

The aforementioned article by David Carr—no, I am not kidding.

“Every time I hear about Twitter,” wrote Packer, “I want to yell Stop!  The notion of sending and getting brief updates to and from dozens or thousands of people every few minutes is an image from information hell.  I’m told that Twitter is a river into which I can dip my cup whenever I want.  But that supposes we’re all kneeling on the banks.  In fact, if you’re at all like me, you’re trying to keep your footing out in midstream, with the water level always dangerously close to your nostrils.  Twitter sounds less like sipping than drowning.”

Someone who admits that he has, in fact, never even used Twitter, continued with a crack addiction analogy:

“Who doesn’t want to be taken out of the boredom or sameness or pain of the present at any given moment?  That’s what drugs are for, and that’s why people become addicted to them. 

Carr himself was once a crack addict (he wrote about it in The Night of the Gun).  Twitter is crack for media addicts. 

It scares me, not because I’m morally superior to it, but because I don’t think I could handle it.  I’m afraid I’d end up letting my son go hungry.”

 

“Call me a digital crack dealer”

On February 3, 2010, in his blog post, The Twitter Train Has Left the Station, Nick Bilton responded:

“Call me a digital crack dealer, but here’s why Twitter is a vital part of the information economy—and why Mr. Packer and other doubters ought to at least give it a Tweet:

Hundreds of thousands of people now rely on Twitter every day for their business.  Food trucks and restaurants around the world tell patrons about daily food specials.  Corporations use the service to handle customer service issues.  Starbucks, Dell, Ford, JetBlue and many more companies use Twitter to offer discounts and coupons to their customers.  Public relations firms, ad agencies, schools, the State Department—even President Obama—use Twitter and other social networks to share information.”

. . .

“Most importantly, Twitter is transforming the nature of news, the industry from which Mr. Packer reaps his paycheck.  The news media are going through their most robust transformation since the dawn of the printing press, in large part due to the Internet and services like Twitter.  After this metamorphosis takes place, everyone will benefit from the information moving swiftly around the globe.”

Bilton concludes his post with a train analogy:

“Ironically, Mr. Packer notes how much he treasures his Amtrak rides in the quiet car of the train, with his laptop closed and cellphone turned off.  As I’ve found in previous research, when trains were a new technology 150 years ago, some journalists and intellectuals worried about the destruction that the railroads would bring to society.  One news article at the time warned that trains would ‘blight crops with their smoke, terrorize livestock … and people could asphyxiate’ if they traveled on them.

I wonder if, 150 years ago, Mr. Packer would be riding the train at all, or if he would have stayed home, afraid to engage in an evolving society and demanding that the trains be stopped.”

 

Our apparent appetite for our own destruction

On February 4, 2010, in his blog post Neither Luddite nor Biltonite, George Packer responded:

“It’s true that I hadn’t used Twitter (not consciously, anyway—my editors inform me that this blog has for some time had an automated Twitter feed).  I haven’t used crack, either, but—as a Bilton reader pointed out—you don’t need to do the drug to understand the effects.”

. . .

“Just about everyone I know complains about the same thing when they’re being honest—including, maybe especially, people whose business is reading and writing.  They mourn the loss of books and the loss of time for books.  It’s no less true of me, which is why I’m trying to place a few limits on the flood of information that I allow into my head.”

. . .

“There’s no way for readers to be online, surfing, e-mailing, posting, tweeting, reading tweets, and soon enough doing the thing that will come after Twitter, without paying a high price in available time, attention span, reading comprehension, and experience of the immediately surrounding world.  The Internet and the devices it’s spawned are systematically changing our intellectual activities with breathtaking speed, and more profoundly than over the past seven centuries combined.  It shouldn’t be an act of heresy to ask about the trade-offs that come with this revolution.”

. . .

“The response to my post tells me that techno-worship is a triumphalist and intolerant cult that doesn’t like to be asked questions.  If a Luddite is someone who fears and hates all technological change, a Biltonite is someone who celebrates all technological change: because we can, we must.  I’d like to think that in 1860 I would have been an early train passenger, but I’d also like to think that in 1960 I’d have urged my wife to go off Thalidomide.”

. . .

“American newspapers and magazines will continue to die by the dozen.  The economic basis for reporting (as opposed to information-sharing, posting, and Tweeting) will continue to erode.  You have to be a truly hard-core techno-worshipper to call this robust.  Any journalist who cheerleads uncritically for Twitter is essentially asking for his own destruction.”

. . .

“It’s true that Bilton will have news updates within seconds that reach me after minutes or hours or even days. 

It’s a trade-off I can live with.”

Packer concludes his post by quoting the end of G. B. Trudeau's book My Shorts R Bunching. Thoughts?:

“The time you spend reading this tweet is gone, lost forever, carrying you closer to death.  Am trying not to abuse the privilege.”

 

The Twitter Clockwork is NOT Orange

A Clockwork Orange

The primary propaganda used by the anti-Twitter lunatic fringe is comparing the microblogging and social networking service to that disturbing scene (pictured above) from the movie A Clockwork Orange, where you are confined within a straight jacket, your head strapped into a restraining chair preventing you from looking away, your eyes clamped to remain open—and you are forced to stare endlessly into the abyss of the cultural apocalypse that the Twitterverse is apparently supposed to represent.

You can feel free to call me a Biltonite, because I obviously agree far more with Bilton and Carr—and not with Packer.

Of course, I recommend you read all four of the articles/posts I linked to and selectively quoted above.  Especially Carr's article, which was far more balanced than either my quotes or Packer's posts reflect. 

 

Social Media Will Endure

We continue to witness the decline of print media and the corresponding evolution of social media.  I completely understand why Packer (and others with a vested interest in print media) want to believe social media is a revolution that must be put down. 

Hence the outrageous exaggerations Packer uses when comparing Twitter with drug abuse (crack cocaine) and the truly offensive remark of comparing Twitter with one of the worst medical tragedies in modern history (Thalidomide). 

I believe the primary reason that social media will endure, beyond our increasing interest in exchanging what has traditionally been only a broadcast medium (print media) for a conversation medium, is because it is enabling our communication to return to the more direct and immediate forms of information sharing that existed even before the evolution of written language.

Social media is an evolution and not a revolution being forced upon society by unrelenting technological advancements and techno-worship.  In many ways, social media is not a new concept at all—technology has simply finally caught up with us.

Humans have always been “social” by our very nature.  We have always thrived on connection, conversation, and community. 

Social media is rapidly evolving.  Therefore, specific services like Twitter may be replaced (or Twitter may continue to evolve). 

However, the essence of social media will endure—but the same can't be said of Packerites (neo-Luddites like George Packer).

 

What Say You?

Please share your thoughts on this debate by posting a comment below. 

Or you can share your thoughts with me on Twitter—which reminds me, it's time for me to be strapped back into the chair . . .